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9篇 您的检索式:作者名="Vervliet"
    题名 作者 年代 出处 被引量
1Inositol 1,4,5-trisphosphate receptor-isoform diversity in cell death and survival显示文摘Ivanova H Vervliet T Missiaen L 2014Biochim Biophys Acta2014,14,:1
2The selective BH4 - domain biology of Bel - 2 - family members: IP3Rs and beyond 显示文摘MONACO G VERVLIET T AKL H 2013Cell Mol Life Sci2013,70,7:1
3Beyond extinction:Erasing human fear responses and preventing the return of fear显示文摘Kindt M Soeter M Vervliet B 0,,03:1
4Bcl-2 binds to and inhibits ryanodine receptors显示文摘Vervliet T Decroek E Jordi Molg6 2014J Cell Sei2014,127,12:1
5Learning and memory in conditioned fear extinction: effects of D-cycloserine 显示文摘Vervliet B 2008Acta Psychol ( Amst)2008,127,3:1
6Beyond extinction: Erasing human fear responses and preventing the return of fear 显示文摘Merel Kindt Marieke Soeter Bram Vervliet 2009Nat Neurosci2009,3,12:1
7Bcl-2 binds to and inhibitsryanodine receptors显示文摘Vervliet T Decrock E Molg6 J 2014J Cell Sci2014,127,2:1
8Combining thermodynamics with tensor completion techniques to enable multicomponent microstructure prediction显示文摘Multicomponent alloys show intricate microstructure evolution,providing materials engineers with a nearly inexhaustible variety of solutions to enhance material properties.Multicomponent microstructure evolution simulations are indispensable to exploit these opportunities.These simulations,however,require the handling of high-dimensional and prohibitively large data sets of thermodynamic quantities,of which the size grows exponentially with the number of elements in the alloy,making it virtually impossible to handle the effects of four or more elements.In this paper,we introduce the use of tensor completion for highdimensional data sets in materials science as a general and elegant solution to this problem.We show that we can obtain an accurate representation of the composition dependence of high-dimensional thermodynamic quantities,and that the decomposed tensor representation can be evaluated very efficiently in microstructure simulations.This realization enables true multicomponent thermodynamic and microstructure modeling for alloy design.Yuri Amorim Coutinho Nico Vervliet Lieven De Lathauwer Nele Moelans 2020npj Computational Materials2020,,1:0
9Neural Correlates of Human Associative Learning显示文摘Lesion studies in animals have associated the amygdala mainly with aversive conditioning,both cued and contextual.However,neurophysiological studies indicate that the amygdala has a role in the processing of positive emotions in some kinds of stimulusreward learning.The aim of the current study was to extend these findings to humans.Functional magnetic resonance imaging was applied to investigate the neural basis of aversive and appetitive conditioning.In the first study,aversive electrical shocks were delivered as either cue or context related.The second study integrated appetitive and aversive conditioning using electric shocks as aversive and monetary rewards as appetitive reinforcers.Differential responses in the amygdala were observed during both cue and contextual conditioning,whereas context conditioning additionally recruited the hippocampus.Amygdala activity was higher for reinforced acoustic stimuli.The findings underline the importance of the amygdala in associative learning,irrespective of the stimulus valence and stimulus type.Andreas Marschner Raffael Kalisch Bram Vervliet Debora Vansteenwegen Christian Büchel 2011Tsinghua Science and Technology2011,16,2:0
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